Description: The concrete_data.mat file is imported into MATLAB, where attributes is the 7 input variable affecting the compressive strength of concrete, and strength is the compressive strength of concrete, that is, the output variable;
The 103 samples in the whole dataset are randomly divided into training set and test set, in which the training set contains 80 samples, and the test set contains 23 samples;
The training set is normalized to the test set data;
The BP neural network is established and trained;
The trained BP neural network is used to predict the compressive strength of 23 samples in the test set;
Output results and plot (true values versus predicted values)
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